Cloud services with big data provide a solution for monitoring and tracking sustainable development goals
To achieve the Sustainable Development Goals (SDGs), high-quality data are needed to inform the formulation of policies and investment decisions, to monitor progress towards the SDGs and to evaluate the impacts of policies. However, the data landscape is changing. With emerging big data and cloud-ba...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Elsevier
2020-03-01
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Series: | Geography and Sustainability |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683920300109 |
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author | Bingfang Wu Fuyou Tian Miao Zhang Hongwei Zeng Yuan Zeng |
author_facet | Bingfang Wu Fuyou Tian Miao Zhang Hongwei Zeng Yuan Zeng |
author_sort | Bingfang Wu |
collection | DOAJ |
description | To achieve the Sustainable Development Goals (SDGs), high-quality data are needed to inform the formulation of policies and investment decisions, to monitor progress towards the SDGs and to evaluate the impacts of policies. However, the data landscape is changing. With emerging big data and cloud-based services, there are new opportunities for data collection, influencing both official data collection processes and the operation of the programmes they monitor. This paper uses cases and examples to explore the potential of crowdsourcing and public earth observation (EO) data products for monitoring and tracking the SDGs. This paper suggests that cloud-based services that integrate crowdsourcing and public EO data products provide cost-effective solutions for monitoring and tracking the SDGs, particularly for low-income countries. The paper also discusses the challenges of using cloud services and big data for SDG monitoring. Validation and quality control of public EO data is very important; otherwise, the user will be unable to assess the quality of the data or use it with confidence. |
first_indexed | 2024-12-21T18:14:39Z |
format | Article |
id | doaj.art-0586aa752b674d6d924280516ca67148 |
institution | Directory Open Access Journal |
issn | 2666-6839 |
language | English |
last_indexed | 2024-12-21T18:14:39Z |
publishDate | 2020-03-01 |
publisher | Elsevier |
record_format | Article |
series | Geography and Sustainability |
spelling | doaj.art-0586aa752b674d6d924280516ca671482022-12-21T18:54:42ZengElsevierGeography and Sustainability2666-68392020-03-01112532Cloud services with big data provide a solution for monitoring and tracking sustainable development goalsBingfang Wu0Fuyou Tian1Miao Zhang2Hongwei Zeng3Yuan Zeng4Correspondence author.; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, ChinaState Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 10049, ChinaTo achieve the Sustainable Development Goals (SDGs), high-quality data are needed to inform the formulation of policies and investment decisions, to monitor progress towards the SDGs and to evaluate the impacts of policies. However, the data landscape is changing. With emerging big data and cloud-based services, there are new opportunities for data collection, influencing both official data collection processes and the operation of the programmes they monitor. This paper uses cases and examples to explore the potential of crowdsourcing and public earth observation (EO) data products for monitoring and tracking the SDGs. This paper suggests that cloud-based services that integrate crowdsourcing and public EO data products provide cost-effective solutions for monitoring and tracking the SDGs, particularly for low-income countries. The paper also discusses the challenges of using cloud services and big data for SDG monitoring. Validation and quality control of public EO data is very important; otherwise, the user will be unable to assess the quality of the data or use it with confidence.http://www.sciencedirect.com/science/article/pii/S2666683920300109Big dataCloud servicesSDGsMonitoring |
spellingShingle | Bingfang Wu Fuyou Tian Miao Zhang Hongwei Zeng Yuan Zeng Cloud services with big data provide a solution for monitoring and tracking sustainable development goals Geography and Sustainability Big data Cloud services SDGs Monitoring |
title | Cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
title_full | Cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
title_fullStr | Cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
title_full_unstemmed | Cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
title_short | Cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
title_sort | cloud services with big data provide a solution for monitoring and tracking sustainable development goals |
topic | Big data Cloud services SDGs Monitoring |
url | http://www.sciencedirect.com/science/article/pii/S2666683920300109 |
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